Congruent Visual Stimulation Facilitates Auditory Frequency Change Detection: An ERP Study

Wang，Lei1; Tsao，Yu2; Chen，Fei1

10.1109/EMBC.2018.8512835

2018-10-26

1557-170X

978-1-5386-3647-3

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2018-July

2446-2449

18-21 July 2018

Honolulu, HI, United states

Institute of Electrical and Electronics Engineers Inc.

Exploring effective methods to improve the ability of frequency change detection for normal-hearing listeners and hearing-impaired patients is important to enhance their auditory perception, particularly in noise. This work studied the effect of congruent visual stimulation on facilitating auditory frequency change detection. Specially, an event-related potential (ERP) experiment was designed to investigate the functional mechanism underlying the audiovisual integration ability. Subjects were stimulated in three types of modalities, i.e., auditory-only, visual-only, and audiovisual. ERP components (e.g., N1 and P2) were compared among the three modalities. Results showed that the congruent visual stimulation significantly improved the perceptual ability of auditory frequency change detection. Compared with the other two unimodal modalities, the audiovisual modality yielded larger amplitudes in N1 and P2 components. This work provided neurophysiological evidence supporting that the ability of frequency change detection could be facilitated by the congruent visual stimulation.

Visualization Auditory system Standards Electrodes Analysis of variance Acoustics Frequency modulation

第一

英语

EI

National Natural Science Foundation of China[61571213]

20184906171846

2-s2.0-85056617367

Scopus

1.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, ,Shenzhen,China
2.Research Center for Information Technology Innovation, Academia Sinica, ,Taipei,Taiwan

Wang，Lei,Tsao，Yu,Chen，Fei. Congruent Visual Stimulation Facilitates Auditory Frequency Change Detection: An ERP Study[C]:Institute of Electrical and Electronics Engineers Inc.,2018:2446-2449.